NDLI: Image Enhancement by Lifting-Based Wavelet Domain E-Median Filter

Content Provider	IEEE Xplore Digital Library
Author	Koc, S. Ercelebi, E.
Copyright Year	2007
Description	Author affiliation: Elektrik ve Elektron. Muhendisligi Bolumu, Gaziantep Univ., Gaziantep, Turkey (Koc, S.; Ercelebi, E.)
Abstract	In this study, we propose a method based on wavelet domain E-median filter (WDEMF) for the image enhancement. The method is performed by transforming corrupted image into wavelet domain and filtering the image by e-median filter iteratively. One problem of standard median filter is that it tends to alter pixels undisturbed by noise. To overcome this pitfalls in this study we used e-median filter which is a type of modified standard median filter. For image enhancement spatial domain e-median filter can be used iteratively but in this case, encountering root image of median filter at early stage of iterations is an important issue and thus no further improvement on corrupted image is achieved. We overcome the problem with this study. Because WDMF prevents the median filter from encountering the root image at early stage of iterations. To evaluate performance of the proposed method we compare the results of the proposed method with other methods in literature.
Starting Page	1
Ending Page	4
File Size	1264821
Page Count	4
File Format	PDF
ISBN	1424407192
DOI	10.1109/SIU.2007.4298677
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-11
Publisher Place	Turkey
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms Wavelet domain Filters Filtering image enhancement e-median filter lifting based wavelet transform Image enhancement Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Image enhancement by wavelet domain median filter

Adaptive wiener filter based on fast lifting wavelet transform for image enhancement

Efficient Wavelet Lifting Scheme Based on Filter Optimization and Median Operator

Image enhancement via space-adaptive lifting scheme using spatial domain adaptive Wiener filter

Image Restoration by Lifting-Based Wavelet Domain E-Median Filter

Image-Denoising Based on Bior Wavelet Transform and Median Filter

Image denoising using wavelet transform and median filtering

A new framework of M-channels lifting wavelet filter in image processing

Lifting-based wavelet transform algorithm for lossy imagetsignal compression

Image Enhancement by Lifting-Based Wavelet Domain E-Median Filter

Similar Documents

Image enhancement by wavelet domain median filter

Adaptive wiener filter based on fast lifting wavelet transform for image enhancement

Efficient Wavelet Lifting Scheme Based on Filter Optimization and Median Operator

Image enhancement via space-adaptive lifting scheme using spatial domain adaptive Wiener filter

Image Restoration by Lifting-Based Wavelet Domain E-Median Filter

Image-Denoising Based on Bior Wavelet Transform and Median Filter

Image denoising using wavelet transform and median filtering

A new framework of M-channels lifting wavelet filter in image processing

Lifting-based wavelet transform algorithm for lossy imagetsignal compression

Image Enhancement by Lifting-Based Wavelet Domain E-Median Filter